I. UBI Logistics

1.1 About UBI Logistics

UBI Logistics Limited, founded in 1991 and headquartered in Hong Kong, is a China-rooted, globally-oriented international logistics integration provider. Leveraging WallTech’s SaaS solutions, the company efficiently manages ocean freight, air freight, multimodal transportation, and cross-border e-commerce logistics operations, delivering end-to-end supply chain fulfillment services. Supported by a professional global team and intelligent management systems, UBI Logistics optimizes global logistics networks through digitalization, with service nodes established in over 30 countries/regions and strategic partnerships with 50+ international transportation providers. Committed to technology-driven service innovation, the company provides efficient, precise, and reliable customized logistics solutions through full-process visual management and intelligent decision-support systems.

1.2 Challenges

The core operations face three critical challenges:

Non-standardized Interfaces & Documents:

Heterogeneous booking APIs across carriers complicate system integration.

Inconsistent booking order formats and layouts across carriers hinder data processing and information verification.

Content Standardization Deficiencies: Irregular or incomplete key field entries in booking orders increase manual audit workloads by 40%, reducing operational efficiency.

Billing & Invoice Ambiguities:

Absence of unified industry rules for ocean freight cost structures, with implicit discrepancies in billing logic.

Divergent electronic invoice field definitions and data structures across stakeholders complicate cost verification.

II. Solution Architecture

2.1 Unified Data Standards

Estructured standardized specifications for:

Booking instruction types

Carrier definitions

Port of loading/destination

Shipping marks

Field definitions, data types, and content descriptors

2.2 AI-Powered Content Extraction

Deployed Claude 3.5 Sonnet via AWS Bedrock for structured data extraction from multimodal inputs (text/images) aligned with data standards.

2.3 Prompt Engineering Optimization

Implemented AWS Bedrock’s prompt management for:

Version-controlled prompt debugging

Lifecycle governance of AI interaction templates

2.4 Intelligent Workflow Orchestration

Designed AWS Bedrock Flow to automate multi-stage Claude 3.5 interactions:

File type routing

Watermark validation

Format conversion

Image/text extraction

Structured data output

2.5 Compliance Assurance

Integrated AWS Bedrock guardrails to enforce input validation, ensuring booking document authenticity and regulatory compliance.

III. AWS Infrastructure Implementation

3.1 Architecture Design

Constructed a multi-service AWS architecture, with Bedrock components accelerating implementation efficiency by 50%. (Architecture diagram referenced)

3.2 Feature Utilization

Prompt Lifecycle Management: Achieved 35% reduction in maintenance costs via version rollback and gray release capabilities.

Modular Flow Configuration: Enabled 40% faster development cycles through visual workflow design, enhancing adaptability to dynamic business needs.

IV. Results & Benefits

4.1 Operational Outcomes

60% improvement in data processing efficiency: Automated booking order extraction resolves interface/document inconsistencies.

32% reduction in manual audit costs: Process automation enhances data accuracy (99.2% field-level precision).

50% faster cost verification: Standardized billing rules and optimized invoice structures.

Enhanced data security: Compliance guardrails reduce unauthorized input risks.